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The pain report is the basic dependent variable in many studies of placebo analgesia, and reported pain should ideally reflect the pain experience.
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Our regressions use two basic models for each dependent variable.
The basic model had a dependent variable with three discrete outcomes: c-section, vaginal delivery, and CDMR.
The basic characteristics of the dependent variable and four major independent variables for the whole sample and by residence are given in Table 1.
Table 2 shows the basic statistics for the dependent variable and covariates.
Our basic specification specifies the dependent variable y it to have a Poisson distribution with conditional mean (1) where z i is a vector of independent variables and c i is an unobserved effect, as described in Wooldridge[ 18] and Nolan[ 19].
Linear regression with scores on the functional principal components for the smooth curve fits for the mean as the dependent variable and basic pregnancy characteristics as explanatory variables.
The basic idea of regression models is to relate a dependent variable (V_D) to an independent variable (V_I).
A basic cognition/fine motor composite score was used as a dependent variable comprising alertness (TAP), tapping, and dotting (Chronbachs alpha =.801).
We estimate the same basic model as in the previous section, but now the dependent variable refers to the health consumption variables.
In the second subset selected ([2]72-BFC and [6]202-BFC [6]202-BFCnctional components size (basicwere selected as a predictor and efunctionaloftware development as the dependent variable.
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